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@ARTICLE{Denker:892671,
      author       = {Denker, Michael and Grün, Sonja and Wachtler, Thomas and
                      Scherberger, Hansjörg},
      title        = {{R}eproducibility and efficiency in handling complex
                      neurophysiological data},
      journal      = {Neuroforum},
      volume       = {27},
      number       = {1},
      issn         = {2363-7013},
      address      = {Berlin},
      publisher    = {De Gruyter},
      reportid     = {FZJ-2021-02257},
      pages        = {27- 34},
      year         = {2021},
      abstract     = {Preparing a neurophysiological data set with the aim of
                      sharing and publishing is hard. Many of the available tools
                      and services to provide a smooth workflow for data
                      publication are still in their maturing stages and not well
                      integrated. Also, best practices and concrete examples of
                      how to create a rigorous and complete package of an
                      electrophysiology experiment are still lacking. Given the
                      heterogeneity of the field, such unifying guidelines and
                      processes can only be formulated together as a community
                      effort. One of the goals of the NFDI-Neuro consortium
                      initiative is to build such a community for systems and
                      behavioral neuroscience. NFDI-Neuro aims to address the
                      needs of the community to make data management easier and to
                      tackle these challenges in collaboration with various
                      international initiatives (e.g., INCF, EBRAINS). This will
                      give scientists the opportunity to spend more time analyzing
                      the wealth of electrophysiological data they leverage,
                      rather than dealing with data formats and data integrity.},
      cin          = {INM-6 / INM-10 / IAS-6},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-6-20090406 / I:(DE-Juel1)INM-10-20170113 /
                      I:(DE-Juel1)IAS-6-20130828},
      pnm          = {5235 - Digitization of Neuroscience and User-Community
                      Building (POF4-523) / 5231 - Neuroscientific Foundations
                      (POF4-523) / HDS LEE - Helmholtz School for Data Science in
                      Life, Earth and Energy (HDS LEE) (HDS-LEE-20190612)},
      pid          = {G:(DE-HGF)POF4-5235 / G:(DE-HGF)POF4-5231 /
                      G:(DE-Juel1)HDS-LEE-20190612},
      typ          = {PUB:(DE-HGF)16},
      doi          = {10.1515/nf-2020-0041},
      url          = {https://juser.fz-juelich.de/record/892671},
}